When a blocking effect is included in an ANOVA, the result is a larger error sum of squares.

Name: When a blocking effect is included in an ANOVA, the result is a larger error sum of squares.
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When a blocking effect is included in an ANOVA, it reduces the variation due to the blocking factor, causing the error sum of squares to increase. This is because the variability that was previously explained by the blocking factor is now included in the error term.

When a Blocking Effect Is Included in an ANOVA, the Result